Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "57"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 57 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 33 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 31 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 57, Node N04:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459848 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 40.375309 1.080397 10.605565 1.854619 7.160995 0.252455 3.108833 0.622519 0.5743 0.7636 0.3672 3.227020 2.760799
2459847 RF_maintenance 100.00% 3.76% 0.00% 0.00% 100.00% 0.00% 43.812050 0.678705 7.731519 -0.715950 7.331711 0.716317 9.682553 0.118626 0.5803 0.6991 0.4012 3.775459 2.833082
2459846 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 37.333429 0.826479 12.837631 0.811353 8.768892 2.370139 11.437697 0.780392 0.7600 0.6981 0.3857 4.262421 2.870334
2459845 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 48.164072 0.941380 14.439773 1.981042 5.123085 0.778799 3.601151 0.231211 0.5934 0.7658 0.3655 4.877142 9.150308
2459844 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 3.557460 0.911637 -0.309295 1.803977 3.311608 -0.217249 6.789452 -1.177304 0.0293 0.0263 0.0022 nan nan
2459843 RF_maintenance 100.00% 1.20% 0.66% 0.00% 100.00% 0.00% 55.185849 0.520442 5.401220 1.614225 9.199928 0.522061 2.345635 1.137458 0.5966 0.7702 0.3725 6.199082 4.235744
2459840 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 2.272253 2.619958 -0.499442 0.342779 -0.950273 -1.049960 -0.010017 -0.258839 0.7404 0.8307 0.8009 nan nan
2459839 RF_maintenance 0.00% - - - - - -0.096804 -0.263088 -1.043329 1.311894 0.543853 -0.245044 -0.160606 -0.608106 nan nan nan nan nan
2459838 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 58.301410 83.628423 63.256506 69.746276 60.058294 69.085117 577.857305 616.726658 0.0183 0.0167 0.0014 1.080064 1.077981
2459836 RF_maintenance - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0421 0.0359 0.0049 nan nan
2459835 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - 1.979614 -1.362596 1.422190 -0.318234 -0.466979 -0.386789 -0.385043 -0.014130 0.0412 0.0351 0.0033 nan nan
2459833 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - 2.326651 -0.751501 -0.053379 -1.153095 1.176306 3.827846 2.232919 0.207740 0.0397 0.0355 0.0052 nan nan
2459832 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 52.385012 -0.621665 7.804106 1.726837 9.472987 -0.256581 6.409423 0.898648 0.1158 0.0843 0.0187 1.209536 1.212818
2459831 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - -0.229600 -0.439949 4.709024 2.703703 2.573753 1.900663 0.604808 -0.195424 0.0427 0.0459 0.0078 nan nan
2459830 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 49.170711 -0.618348 11.393398 2.644989 20.964648 1.196897 12.307146 1.307550 0.1200 0.0697 0.0170 1.234562 1.239000
2459829 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 63.536297 0.093389 10.764298 0.319359 14.447397 -0.272346 14.994163 6.959132 0.1094 0.0790 0.0232 12.614907 24.542665
2459828 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 36.581251 -0.272343 10.066689 1.841372 16.428973 2.929756 13.737570 4.650430 0.1146 0.0745 0.0180 1.238395 1.253940
2459827 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 48.334575 -0.274425 10.582060 3.432361 11.447484 -0.001403 2.443265 1.534613 0.1119 0.0768 0.0242 1.168364 1.169557
2459826 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459825 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 36.653906 -0.328046 10.520466 1.665801 12.317937 1.229100 1.012685 0.285645 0.1258 0.0898 0.0243 1.255158 1.235506
2459824 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 45.120606 -0.403499 7.246983 2.457348 3.950301 -0.026168 5.337314 5.164208 0.1087 0.0807 0.0316 1.160059 1.167462
2459823 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 26.749726 -0.917430 15.967771 2.461596 13.280491 2.190056 20.948857 7.199814 0.1144 0.0843 0.0251 0.856762 0.856478
2459822 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 32.628819 -1.093990 14.026791 2.521759 11.282870 1.495692 3.690788 1.645296 0.1234 0.1007 0.0235 1.176799 1.177095
2459821 RF_maintenance 100.00% 11.29% 11.29% 0.00% 100.00% 0.00% 35.086668 -1.403747 16.755333 0.567621 7.862217 0.773151 -0.680038 -0.638820 0.6146 0.5952 0.3068 5.974096 3.094289
2459820 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 46.247154 -0.914049 10.789767 2.985319 31.535230 1.455193 8.460077 10.621224 0.6482 0.7083 0.3555 4.698082 3.467920
2459817 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 29.645983 -0.435206 14.125798 1.979171 11.625131 2.643756 1.143964 0.713251 0.7125 0.6968 0.3521 4.990711 2.373038
2459816 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459815 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 27.131631 -1.638879 18.472531 0.265281 16.974436 0.702329 18.125497 1.340584 0.7070 0.7042 0.3709 5.266770 3.043185
2459814 RF_maintenance 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 56.623890 -2.097081 11.182618 0.569005 37.951611 0.752154 18.940491 3.867694 0.6655 0.7243 0.3681 13.102847 10.527397

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 57: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 40.375309 1.080397 40.375309 1.854619 10.605565 0.252455 7.160995 0.622519 3.108833

Antenna 57: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 43.812050 0.678705 43.812050 -0.715950 7.731519 0.716317 7.331711 0.118626 9.682553

Antenna 57: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 37.333429 37.333429 0.826479 12.837631 0.811353 8.768892 2.370139 11.437697 0.780392

Antenna 57: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 48.164072 0.941380 48.164072 1.981042 14.439773 0.778799 5.123085 0.231211 3.601151

Antenna 57: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Temporal Discontinuties 6.789452 3.557460 0.911637 -0.309295 1.803977 3.311608 -0.217249 6.789452 -1.177304

Antenna 57: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 55.185849 0.520442 55.185849 1.614225 5.401220 0.522061 9.199928 1.137458 2.345635

Antenna 57: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance nn Shape 2.619958 2.272253 2.619958 -0.499442 0.342779 -0.950273 -1.049960 -0.010017 -0.258839

Antenna 57: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance nn Power 1.311894 -0.263088 -0.096804 1.311894 -1.043329 -0.245044 0.543853 -0.608106 -0.160606

Antenna 57: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance nn Temporal Discontinuties 616.726658 83.628423 58.301410 69.746276 63.256506 69.085117 60.058294 616.726658 577.857305

Antenna 57: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 1.979614 -1.362596 1.979614 -0.318234 1.422190 -0.386789 -0.466979 -0.014130 -0.385043

Antenna 57: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance nn Temporal Variability 3.827846 -0.751501 2.326651 -1.153095 -0.053379 3.827846 1.176306 0.207740 2.232919

Antenna 57: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 52.385012 52.385012 -0.621665 7.804106 1.726837 9.472987 -0.256581 6.409423 0.898648

Antenna 57: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Power 4.709024 -0.229600 -0.439949 4.709024 2.703703 2.573753 1.900663 0.604808 -0.195424

Antenna 57: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 49.170711 49.170711 -0.618348 11.393398 2.644989 20.964648 1.196897 12.307146 1.307550

Antenna 57: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 63.536297 0.093389 63.536297 0.319359 10.764298 -0.272346 14.447397 6.959132 14.994163

Antenna 57: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 36.581251 -0.272343 36.581251 1.841372 10.066689 2.929756 16.428973 4.650430 13.737570

Antenna 57: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 48.334575 48.334575 -0.274425 10.582060 3.432361 11.447484 -0.001403 2.443265 1.534613

Antenna 57: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 57: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 36.653906 -0.328046 36.653906 1.665801 10.520466 1.229100 12.317937 0.285645 1.012685

Antenna 57: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 45.120606 45.120606 -0.403499 7.246983 2.457348 3.950301 -0.026168 5.337314 5.164208

Antenna 57: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 26.749726 -0.917430 26.749726 2.461596 15.967771 2.190056 13.280491 7.199814 20.948857

Antenna 57: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 32.628819 32.628819 -1.093990 14.026791 2.521759 11.282870 1.495692 3.690788 1.645296

Antenna 57: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 35.086668 -1.403747 35.086668 0.567621 16.755333 0.773151 7.862217 -0.638820 -0.680038

Antenna 57: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 46.247154 46.247154 -0.914049 10.789767 2.985319 31.535230 1.455193 8.460077 10.621224

Antenna 57: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 29.645983 29.645983 -0.435206 14.125798 1.979171 11.625131 2.643756 1.143964 0.713251

Antenna 57: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 57: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 27.131631 -1.638879 27.131631 0.265281 18.472531 0.702329 16.974436 1.340584 18.125497

Antenna 57: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 57: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 56.623890 -2.097081 56.623890 0.569005 11.182618 0.752154 37.951611 3.867694 18.940491
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